Clinical Data Engineer

Clinical Data Engineer (CDE), Clinical Data Sciences (CDS)

Role: Clinical Data Engineer (CDE), Clinical Data Sciences (CDS):

Experience: 6 years to 8 years

Location: Bangalore/Pune

Interested candidates can send their resume on below mail ID along with below details-

[HIDDEN TEXT]

Please share below details-

Full Name:

Email:

Contact Details:

Total Experience:

Current location:

Preferred location:

Relevant Experience:

Notice Period:

Current CTC:

Expected CTC:

Current Company Name:

Education or career gap (if any):

EP Reference Number (if already registered with TCS)

Highest Qualification:

Highest Qualification University Name:

Key Accountabilities:

• Building required infrastructure for optimal data extraction, transformation and loading of data using cloud technologies like AWS, Azure etc.,
• Develop end to end processes on the enterprise level for use by the clinical data configuration specialist to prepare data extraction and transformations of raw data quickly and efficiently from various sources at the study level
• Experience creating ELT and ETL to ingest data into data warehouse and data lakes
• Manage and maintain pipelines and troubleshoot data in data lake or warehouse
• Define and track KPIs and provide continuous improvement
• Develop and maintain, tools, libraries, and reusable templates of data pipelines and standards for study level consumption by data configuration specialist
• Provides technical leadership on various aspects of clinical data flow including assisting with the definition, build, and validation of application program interfaces (APIs), data streams, data staging to various systems for data extraction and integration
• Adhere to SOPs for computer system validation and all GCP (Good Clinical Practice) regulations
• Experience with Python/R, SQL, NoSQL
• Cloud experience (i.e. AWS, AZURE or GCP)
• Experience with GitLab, GitHub
• Experience with Jenkins, GitLab
• Experience deploying data pipelines in the cloud
• Experience with Apache Spark (databricks)
• Experience setting up and working with data warehouse, data lakes (eg: snowflake, Amazon RedShift etc.,)
• Experience setting up ELT and ETL
• Experience with unstructured data processing and transformation
• Experience developing and maintaining data pipelines for large amounts of data efficiently
• Must understand database concepts. Knowledge of XML, JSON, APIs.